Engineer Data at PAYLOCITY CORPORATION
Česko, , Czech -
Full Time


Start Date

Immediate

Expiry Date

03 Sep, 25

Salary

0.0

Posted On

04 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Governance, Data Modeling, Dbt, Workstation, Software Development, Snowflake, Sql, Data Engineering, Python

Industry

Information Technology/IT

Description

Location: Remote (Must be based anywhere in the Czech Republic)
Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture.
While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce.
Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology!
Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience.
Take your career to the next level at one of G2’s Top 100 Software Companies. Explore our Product & Technology positions to see where you fit!

EDUCATION AND EXPERIENCE

  • Bachelor’s degree in Computer Science, Data Engineering, or related discipline.
  • 2+ years of experience in data engineering or software development.
  • Proficiency in SQL and Python
  • Knowledge of data modeling, data governance, and distributed computing.
  • Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) is big plus.
  • Experience with DBT is big plusPhysical requirements

PHYSICAL REQUIREMENTS:

  • Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day.
  • Use of computer and phone systems: The employee must be able to operate a computer, use phone systems and type. This includes using multiple software programs and inquiries simultaneously.
Responsibilities

The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the
knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities

to perform the essential functions.

  • Develop, maintain, optimize, and document ETL/ELT pipelines.
  • Ensure data integrity and security across storage and processing layers.
  • Work with data warehousing technologies to support business intelligence.
  • Automate data processing tasks to improve efficiency and scalability.
  • Collaborate with data scientists and software engineers to integrate data solutions.
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